Blush Product Image Classification Dataset
#image classification #feature extraction #product classification #e-commerce recommendation #visual search
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-07-29
AI Analysis & Value Prop
In recent years, the retail e-commerce industry has developed rapidly. However, due to the wide variety of products, consumers often feel confused when choosing blush products, leading to low purchase decision efficiency. Existing product classification systems mainly rely on manual labeling, which is inefficient and prone to errors, unable to meet the rapidly changing market demands. This dataset aims to provide efficient and accurate image classification support for blush products, helping to improve the product recommendation system and search functionality of e-commerce platforms. The dataset contains 5000 images of blush products, taken with high-quality photographic equipment in a standardized environment to ensure image clarity and color accuracy. All data has undergone multiple rounds of labeling and consistency checks to ensure labeling accuracy and reliability. Data is stored in JPG format, organized by category for ease of subsequent analysis and use.
Dataset Insights
Sample Examples
c9573e1a**.png|1037*1280|908.55 KB
abc356c9**.png|1023*1280|1.69 MB
5c2964d9**.png|999*1280|1.03 MB
3646b063**.png|1050*1280|1.25 MB
474bf85e**.png|1280*900|1.05 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| brand_name | string | The brand name of the blush product. |
| color_family | string | The color family of the blush product, such as red, pink, nude, etc. |
| texture_type | string | The texture type of the blush product, such as powder, liquid, cream, etc. |
| package_type | string | The package type of the blush product, such as boxed, tubed, pan, etc. |
| finish_type | string | The finish type of the blush product, such as matte, shimmer, pearlescent, etc. |
| product_shape | string | The physical shape of the blush product, such as round, square, etc. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What are the application scenarios for the blush product image classification dataset?
- This dataset can be used for product classification on e-commerce platforms, optimization of recommendation systems, and training and testing in image classification in computer vision research.
- What are the features of the blush product image classification dataset?
- This dataset focuses on image classification tasks in the retail industry and contains a rich set of blush product images to enhance the accuracy of classification models in real-world scenarios.
- How can the blush product image classification dataset be used to improve user experience on e-commerce platforms?
- Models trained with this dataset can classify and recommend blush products more accurately, enhancing customer shopping experiences and platform sales performance.
- What machine learning algorithms is the blush product image classification dataset suitable for researching?
- This dataset is suitable for researching the application of convolutional neural networks (CNN), transfer learning, and other deep learning algorithms in image classification.
- How is the quality of images ensured in the blush product image classification dataset?
- The images included in the dataset are carefully selected to ensure clarity and good composition, enhancing the effectiveness of model training.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Blush Product Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/4573623c0d1bbae613dd679a2341f8de},
urldate={2025-09-15},
keywords={blush product images, image classification dataset, e-commerce dataset, product classification, retail e-commerce},
version={1.0}
}Using this in research? Please cite us.
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